JointFontGAN
Author:
Affiliation:
1. Wayne State University, Detroit, MI, USA
Funder
Wayne State University
National Science Foundation
National Institutes of Health
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3394171.3413705
Reference33 articles.
1. Multi-content GAN for Few-Shot Font Style Transfer
2. Learning A Stroke‐Based Representation for Fonts
3. Shumeet Baluja. 2016. Learning typographic style. arXiv preprint arXiv:1603.04000 (2016). Shumeet Baluja. 2016. Learning typographic style. arXiv preprint arXiv:1603.04000 (2016).
4. Learning a manifold of fonts
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2. DSE-Net: Artistic Font Image Synthesis via Disentangled Style Encoding;2022 IEEE International Conference on Multimedia and Expo (ICME);2022-07-18
3. SLOGAN: Handwriting Style Synthesis for Arbitrary-Length and Out-of-Vocabulary Text;IEEE Transactions on Neural Networks and Learning Systems;2022
4. Generating Synthetic Styled Chu Nom Characters;Frontiers in Handwriting Recognition;2022
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